• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.355-356
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• 2022

The pilot GOBT program was carried out from November 17th - December 17th 2021 at KIMFT; self-isolation for 10 days, Basic Safety Training(BST) for 5 days and 2 weeks of on-board training(OBT) were conducted during the period. Total 20 cadets from 5 different Countries were participated under the financial support of IMO ITCP and Korean ODA program. The program aims to provide capacity-building courses focusing on on-board training and assisting future maritime officers in meeting the minimum standard of seagoing experience in accordance with the STCW Convention. In the meantime, the program itself can serve as a platform to share best practices of how the training including the curriculum can be organized on specialized training vessels. The questionnaire survey was carried out to evaluate the GOBT program, and the overall average score was 96.4 points which seems that the cadets were very satisfied with the Global On-Board Training program provided by KIMFT in 2021.

• Journal of the Korea Society for Simulation
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• v.31 no.2
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• pp.21-32
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• 2022

The ROK Navy is seeking to secure an aircraft carrier(CVX) to take responsibility for the maritime security of the Republic of Korea. In order for the CVX to complete the mission given to it, the crew must be able to operate the CVX perfectly, and for this purpose, the operating skills of the CVX crew result from constant training. Therefore, this paper proposes an On-board Training System(OBTS) so that the best training can always be performed even on ship. CVX OBTS should be built in the form of a thorough simulator based on a Synthetic Training Environment(STE) so that it can be optimally applied to ship and provide the best training environment to the crew. In order to satisfy the various training requirements and implementation conditions of the CVX, this paper proposes a plan to consist of Embedded Training System(ETS), VR training system, AR maintenance system, MR training system, MR metaverse training system, and realistic simulator training system.